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xCloudinfo/Qwen3-VL-32B-Abliterated-xCloud

xCloudinfo Qwen 33B multimodal
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Response includes
  • classification m1
  • files 27
  • benchmarks 11 entries
  • hub_downloads_all_time 31
  • author_summary 25 models
  • readme_text full
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Abliteration classifier · v1.0.0
M1
Primary method

Direct removal

No other method signals detected in this model.
Confidence
MEDIUM
Why this label 3 signals
Method inferred from partial signals - repository name, related files, or tag patterns. Producer identity not confirmed; label may sharpen or shift as we gather more evidence.
  • 'abliterated' in name/tags
  • is_gguf=0 (base model)
  • no specific method indicators - defaulting to M1 (most common)
Refusal direction extracted via
Extraction technique

Difference-of-means

Confidence
MEDIUM
Why we say so
primary_method=M1; difference-of-means is the reference extraction for M1/M3 (Arditi 2024)
Downloads · lifetime
31
20 last 30d - active
Likes
0
Descendants
3
in 3 direct forks
Model age
7w ago
created 2026-08-21
Downloads over time
Now40→from5↑700%
31730445 on Aug 1940 on Oct 11AugSepOct
Aug 19 → Oct 11 · 48 snapshots · spans 53 days

Benchmarks

Portrait before abliteration
Benchmarks of the base model as it stood before the refusal-removal operation. Compare with the numbers above to see what the operation cost.
Benchmark Score Source
Entertainment 1.4 UGI
Hazardous 4.7 UGI
Natural Intelligence 24.96 UGI
Political lean -21.2% UGI
Sensitive-Info 25.6 UGI
SocPol 2.2 UGI
UGI 29.57 UGI
Willingness (10) 3.8 UGI
W10-Adherence 1.5 UGI
W10-Direct 6 UGI
Writing 34.95 UGI

Genealogy 3 direct forks

Full fork graph →

This model's place in the market. Above: what it was derived from. Below: the tree of everything derived from it.

Variants by this author 2 formats · 437 downloads combined

The same weights this author released in different packaging. Pick the format that matches your runtime.

Metadata

License
apache-2.0
Languages
en zh
Tags
transformers safetensors qwen3_vl image-text-to-text uncensored abliterated multimodal vision conversational en zh base_model:Qwen/Qwen3-VL-32B-Instruct

Related

Total size
62.1 GB
Files
27
Quantizations
1
Registered
2026-08-22 13:56
Last updated on HF
2026-08-21 17:22

Files by quantization

Auxiliary files 27 files 62.1 GB
model-00001-of-00014.safetensors 4.59 GB 6b9dfbc9 download
model-00004-of-00014.safetensors 4.54 GB ad09c74d download
model-00005-of-00014.safetensors 4.54 GB fc993c8a download
model-00006-of-00014.safetensors 4.54 GB 82f05620 download
model-00007-of-00014.safetensors 4.54 GB fb91da8c download
model-00008-of-00014.safetensors 4.54 GB 431ca565 download
model-00009-of-00014.safetensors 4.54 GB 3825e3f4 download
model-00010-of-00014.safetensors 4.54 GB aded5a4d download
model-00011-of-00014.safetensors 4.54 GB b6edf989 download
model-00012-of-00014.safetensors 4.54 GB 6afb031b download
model-00013-of-00014.safetensors 4.54 GB f13c051c download
model-00003-of-00014.safetensors 4.54 GB 54f22e8b download
model-00002-of-00014.safetensors 4.54 GB d8bb44b4 download
model-00014-of-00014.safetensors 3.05 GB d0b9ee80 download
tokenizer.json 6.71 MB c6cc1014 download
vocab.json 2.65 MB 4783fe10 download
merges.txt 1.59 MB 20024bfe download
model.safetensors.index.json 95.5 KB b7f68f12 download
tokenizer_config.json 10.6 KB d3d37632 download
chat_template.json 5.37 KB 1081bacf download
README.md 2.25 KB 0f2d0752 download
xcloud_abliteration.json 1.71 KB abc73e44 download
.gitattributes 1.48 KB a6344aac download
config.json 1.44 KB 29e92509 download
preprocessor_config.json 390 B 2ea84a43 download
video_preprocessor_config.json 385 B 3ba673a5 download
generation_config.json 269 B 7bb37933 download

README current version from Hugging Face


license: apache-2.0
base_model: Qwen/Qwen3-VL-32B-Instruct
pipeline_tag: image-text-to-text
library_name: transformers
tags:

  • uncensored
  • abliterated
  • multimodal
  • vision
  • qwen3_vl
    language:
  • en
  • zh

Qwen3-VL-32B-Abliterated-xCloud

繁體中文 | English below

由 xCloudinfo 以 Qwen/Qwen3-VL-32B-Instruct 為基礎,
移除其過度拒絕(over-refusal)傾向後的多模態視覺語言模型。公開釋出供社群測試與研究。

  • 方法:方向消融(directional ablation / abliteration),非重新訓練。依 Arditi et al. (2024),
    將「拒絕方向」從殘差寫入矩陣(self_attn.o_proj、mlp.down_proj,第 50–63 層,共 28 個矩陣)正交化移除,強度 1.0。
  • 方向以繁體中文提示對萃取:實測若用英文提示萃取,正交化後會摧毀繁中輸出(繁體 5/8 → 0/8);改用繁中提示對後保住繁中能力。
  • 視覺能力沿用原模型(Qwen3-VL 的圖像/影片理解、OCR、視覺 agent 等)。
  • 授權:Apache-2.0(沿用 base)。

Responsible use

This model has had its safety-alignment refusal behaviour removed and may respond directly to sensitive or
dual-use requests. It is released for community testing and research only. Users are solely responsible for
lawful, compliant, and ethical use. xCloudinfo assumes no responsibility for outputs or downstream use.


Qwen3-VL-32B-Abliterated-xCloud — English

An abliterated (reduced over-refusal) multimodal vision-language model produced by xCloudinfo from
Qwen/Qwen3-VL-32B-Instruct, released for community testing.

  • Method: directional ablation (not retraining). Following Arditi et al. (2024), the refusal direction is
    orthogonalized out of residual-writing matrices (self_attn.o_proj, mlp.down_proj, layers 50–63; 28 tensors),
    strength 1.0.
  • The refusal direction was extracted using Traditional-Chinese prompt pairs; extracting with English prompts
    was found to destroy zh-TW generation after ablation.
  • Vision capabilities are inherited unchanged from the base (image/video understanding, OCR, visual agent).
  • License: Apache-2.0 (inherited from the base model).

README history 1 version

The author's README evolved over time. Click a version to see its content at that point.

  1. 2026-08-21Upload folder using huggingface_hub454c2112.3 KB
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